Overview

Brought to you by YData

Dataset statistics

Number of variables24
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory200.0 B

Variable types

TimeSeries24

Timeseries statistics

Number of series24
Time series length30
Starting point1752152760000
Ending point1752154500000
Period60000
2025-07-20T14:06:25.654466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:25.810828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with ema_14 and 12 other fieldsHigh correlation
ema_14 is highly overall correlated with close and 12 other fieldsHigh correlation
ema_21 is highly overall correlated with ema_14 and 11 other fieldsHigh correlation
ema_60 is highly overall correlated with ema_14 and 10 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 12 other fieldsHigh correlation
high is highly overall correlated with close and 13 other fieldsHigh correlation
low is highly overall correlated with close and 16 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 8 other fieldsHigh correlation
macdhist_7 is highly overall correlated with close and 3 other fieldsHigh correlation
obv is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 16 other fieldsHigh correlation
rsi_14 is highly overall correlated with close and 6 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 3 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 7 other fieldsHigh correlation
rsi_7 is highly overall correlated with close and 8 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 12 other fieldsHigh correlation
sma_21 is highly overall correlated with ema_14 and 11 other fieldsHigh correlation
sma_60 is highly overall correlated with ema_14 and 10 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 12 other fieldsHigh correlation
volume is highly overall correlated with obvHigh correlation
window_end_ms is highly overall correlated with ema_14 and 10 other fieldsHigh correlation
window_start_ms is highly overall correlated with ema_14 and 10 other fieldsHigh correlation
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
ema_7 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_21 is non stationary Non stationary
rsi_7 is non stationary Non stationary
rsi_14 is non stationary Non stationary
rsi_60 is non stationary Non stationary
macd_7 is non stationary Non stationary
macdhist_7 is non stationary Non stationary
target is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
close has unique values Unique
window_start_ms has unique values Unique
window_end_ms has unique values Unique
volume has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
rsi_7 has unique values Unique
rsi_14 has unique values Unique
rsi_21 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv has unique values Unique
target has unique values Unique

Reproduction

Analysis started2025-07-20 13:06:01.754310
Analysis finished2025-07-20 13:06:25.578907
Duration23.82 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

open
Numeric time series

High correlation  Non stationary 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2379.399
Minimum2374.27
Maximum2384.76
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:25.911824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.27
5-th percentile2374.6445
Q12376.5975
median2380.18
Q32381.1075
95-th percentile2384.4385
Maximum2384.76
Range10.49
Interquartile range (IQR)4.51

Descriptive statistics

Standard deviation3.2015194
Coefficient of variation (CV)0.001345516
Kurtosis-0.94038176
Mean2379.399
Median Absolute Deviation (MAD)2.285
Skewness-0.12416032
Sum71381.97
Variance10.249727
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1562448308
2025-07-20T14:06:25.958708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
2025-07-20T14:06:26.081273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:26.112923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2380.01 2
 
6.7%
2381.26 2
 
6.7%
2380.22 2
 
6.7%
2374.9 1
 
3.3%
2374.55 1
 
3.3%
2374.77 1
 
3.3%
2374.76 1
 
3.3%
2377.35 1
 
3.3%
2374.27 1
 
3.3%
2376.39 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
2374.27 1
3.3%
2374.55 1
3.3%
2374.76 1
3.3%
2374.77 1
3.3%
2374.9 1
3.3%
2375.52 1
3.3%
2375.59 1
3.3%
2376.39 1
3.3%
2377.22 1
3.3%
2377.35 1
3.3%
ValueCountFrequency (%)
2384.76 1
3.3%
2384.65 1
3.3%
2384.18 1
3.3%
2384 1
3.3%
2383.11 1
3.3%
2381.26 2
6.7%
2381.11 1
3.3%
2381.1 1
3.3%
2380.9 1
3.3%
2380.66 1
3.3%
2025-07-20T14:06:25.991037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2380.1073
Minimum2374.55
Maximum2385.91
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:26.162897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.55
5-th percentile2374.9675
Q12377.225
median2380.67
Q32382.0125
95-th percentile2385.258
Maximum2385.91
Range11.36
Interquartile range (IQR)4.7875

Descriptive statistics

Standard deviation3.3308339
Coefficient of variation (CV)0.0013994469
Kurtosis-0.84963535
Mean2380.1073
Median Absolute Deviation (MAD)1.975
Skewness-0.14204909
Sum71403.22
Variance11.094455
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1805578843
2025-07-20T14:06:26.211197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-20T14:06:26.351006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:26.592644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2380.01 2
 
6.7%
2376.4 1
 
3.3%
2375.59 1
 
3.3%
2375.16 1
 
3.3%
2375.62 1
 
3.3%
2374.81 1
 
3.3%
2377.24 1
 
3.3%
2382.32 1
 
3.3%
2380.9 1
 
3.3%
2380.92 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2374.55 1
3.3%
2374.81 1
3.3%
2375.16 1
3.3%
2375.59 1
3.3%
2375.61 1
3.3%
2375.62 1
3.3%
2376.4 1
3.3%
2377.22 1
3.3%
2377.24 1
3.3%
2379.69 1
3.3%
ValueCountFrequency (%)
2385.91 1
3.3%
2385.6 1
3.3%
2384.84 1
3.3%
2384.65 1
3.3%
2384 1
3.3%
2382.97 1
3.3%
2382.32 1
3.3%
2382.23 1
3.3%
2381.36 1
3.3%
2381.3 1
3.3%
2025-07-20T14:06:26.245058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2378.799
Minimum2373.13
Maximum2384.34
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:26.671375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2373.13
5-th percentile2374.105
Q12375.615
median2379.72
Q32380.9825
95-th percentile2384.099
Maximum2384.34
Range11.21
Interquartile range (IQR)5.3675

Descriptive statistics

Standard deviation3.2205026
Coefficient of variation (CV)0.0013538355
Kurtosis-0.93586352
Mean2378.799
Median Absolute Deviation (MAD)1.955
Skewness-0.14486329
Sum71363.97
Variance10.371637
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3700216674
2025-07-20T14:06:26.734412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
2025-07-20T14:06:26.880333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:26.912930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2380 2
 
6.7%
2381.1 2
 
6.7%
2374.27 1
 
3.3%
2375.69 1
 
3.3%
2373.13 1
 
3.3%
2374.63 1
 
3.3%
2373.97 1
 
3.3%
2377.35 1
 
3.3%
2379.77 1
 
3.3%
2380.14 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
2373.13 1
3.3%
2373.97 1
3.3%
2374.27 1
3.3%
2374.55 1
3.3%
2374.61 1
3.3%
2374.63 1
3.3%
2375.52 1
3.3%
2375.59 1
3.3%
2375.69 1
3.3%
2377.22 1
3.3%
ValueCountFrequency (%)
2384.34 1
3.3%
2384.18 1
3.3%
2384 1
3.3%
2382.4 1
3.3%
2381.26 1
3.3%
2381.11 1
3.3%
2381.1 2
6.7%
2380.63 1
3.3%
2380.22 1
3.3%
2380.21 1
3.3%
2025-07-20T14:06:26.778902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2379.43
Minimum2373.45
Maximum2384.64
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:26.965160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2373.45
5-th percentile2374.667
Q12376.0875
median2380.005
Q32381.2925
95-th percentile2384.448
Maximum2384.64
Range11.19
Interquartile range (IQR)5.205

Descriptive statistics

Standard deviation3.2522629
Coefficient of variation (CV)0.0013668244
Kurtosis-0.94023947
Mean2379.43
Median Absolute Deviation (MAD)2.365
Skewness-0.21629134
Sum71382.9
Variance10.577214
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.6552297076
2025-07-20T14:06:27.009953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:27.129965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:27.156554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2375.43 1
 
3.3%
2375.71 1
 
3.3%
2375.59 1
 
3.3%
2374.55 1
 
3.3%
2373.45 1
 
3.3%
2374.81 1
 
3.3%
2377.24 1
 
3.3%
2381.49 1
 
3.3%
2379.96 1
 
3.3%
2380.92 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2373.45 1
3.3%
2374.55 1
3.3%
2374.81 1
3.3%
2374.82 1
3.3%
2375.43 1
3.3%
2375.59 1
3.3%
2375.63 1
3.3%
2375.71 1
3.3%
2377.22 1
3.3%
2377.24 1
3.3%
ValueCountFrequency (%)
2384.64 1
3.3%
2384.52 1
3.3%
2384.36 1
3.3%
2384.01 1
3.3%
2382.52 1
3.3%
2382.22 1
3.3%
2381.49 1
3.3%
2381.3 1
3.3%
2381.27 1
3.3%
2381.11 1
3.3%
2025-07-20T14:06:27.041986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7521536 × 1012
Minimum1.7521528 × 1012
Maximum1.7521545 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:27.202754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7521528 × 1012
5-th percentile1.7521528 × 1012
Q11.7521532 × 1012
median1.7521536 × 1012
Q31.7521541 × 1012
95-th percentile1.7521544 × 1012
Maximum1.7521545 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0146016 × 10-7
Kurtosis-1.2
Mean1.7521536 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2564609 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585322858
2025-07-20T14:06:27.256318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:27.387500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:27.415827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75215276 × 10121
 
3.3%
1.75215282 × 10121
 
3.3%
1.75215288 × 10121
 
3.3%
1.75215294 × 10121
 
3.3%
1.752153 × 10121
 
3.3%
1.75215306 × 10121
 
3.3%
1.75215312 × 10121
 
3.3%
1.75215318 × 10121
 
3.3%
1.75215324 × 10121
 
3.3%
1.7521533 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75215276 × 10121
3.3%
1.75215282 × 10121
3.3%
1.75215288 × 10121
3.3%
1.75215294 × 10121
3.3%
1.752153 × 10121
3.3%
1.75215306 × 10121
3.3%
1.75215312 × 10121
3.3%
1.75215318 × 10121
3.3%
1.75215324 × 10121
3.3%
1.7521533 × 10121
3.3%
ValueCountFrequency (%)
1.7521545 × 10121
3.3%
1.75215444 × 10121
3.3%
1.75215438 × 10121
3.3%
1.75215432 × 10121
3.3%
1.75215426 × 10121
3.3%
1.7521542 × 10121
3.3%
1.75215414 × 10121
3.3%
1.75215408 × 10121
3.3%
1.75215402 × 10121
3.3%
1.75215396 × 10121
3.3%
2025-07-20T14:06:27.295685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7521537 × 1012
Minimum1.7521528 × 1012
Maximum1.7521546 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:27.463131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7521528 × 1012
5-th percentile1.7521529 × 1012
Q11.7521533 × 1012
median1.7521537 × 1012
Q31.7521541 × 1012
95-th percentile1.7521545 × 1012
Maximum1.7521546 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0146015 × 10-7
Kurtosis-1.2
Mean1.7521537 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2564611 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585328388
2025-07-20T14:06:27.509613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:27.635994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:27.681027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75215282 × 10121
 
3.3%
1.75215288 × 10121
 
3.3%
1.75215294 × 10121
 
3.3%
1.752153 × 10121
 
3.3%
1.75215306 × 10121
 
3.3%
1.75215312 × 10121
 
3.3%
1.75215318 × 10121
 
3.3%
1.75215324 × 10121
 
3.3%
1.7521533 × 10121
 
3.3%
1.75215336 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75215282 × 10121
3.3%
1.75215288 × 10121
3.3%
1.75215294 × 10121
3.3%
1.752153 × 10121
3.3%
1.75215306 × 10121
3.3%
1.75215312 × 10121
3.3%
1.75215318 × 10121
3.3%
1.75215324 × 10121
3.3%
1.7521533 × 10121
3.3%
1.75215336 × 10121
3.3%
ValueCountFrequency (%)
1.75215456 × 10121
3.3%
1.7521545 × 10121
3.3%
1.75215444 × 10121
3.3%
1.75215438 × 10121
3.3%
1.75215432 × 10121
3.3%
1.75215426 × 10121
3.3%
1.7521542 × 10121
3.3%
1.75215414 × 10121
3.3%
1.75215408 × 10121
3.3%
1.75215402 × 10121
3.3%
2025-07-20T14:06:27.540593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.231368
Minimum0.00490462
Maximum897.96731
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:27.752879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00490462
5-th percentile0.12060932
Q10.75613669
median1.4647387
Q33.4727239
95-th percentile313.81846
Maximum897.96731
Range897.9624
Interquartile range (IQR)2.7165872

Descriptive statistics

Standard deviation185.09945
Coefficient of variation (CV)3.543837
Kurtosis16.782324
Mean52.231368
Median Absolute Deviation (MAD)0.74521602
Skewness4.0741027
Sum1566.9411
Variance34261.808
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01159946157
2025-07-20T14:06:27.810041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:27.978997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:28.012211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.44220013 1
 
3.3%
1.23370289 1
 
3.3%
0.00490462 1
 
3.3%
0.84708057 1
 
3.3%
0.7087811 1
 
3.3%
0.14486632 1
 
3.3%
512.7974224 1
 
3.3%
897.9673088 1
 
3.3%
27.76029361 1
 
3.3%
1.29870877 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.00490462 1
3.3%
0.10076268 1
3.3%
0.14486632 1
3.3%
0.33624061 1
3.3%
0.44220013 1
3.3%
0.7087811 1
3.3%
0.73026435 1
3.3%
0.75447962 1
3.3%
0.76110789 1
3.3%
0.84708057 1
3.3%
ValueCountFrequency (%)
897.9673088 1
3.3%
512.7974224 1
3.3%
70.62195392 1
3.3%
27.76029361 1
3.3%
12.72059496 1
3.3%
10.94967317 1
3.3%
6.05505625 1
3.3%
3.47584922 1
3.3%
3.46334785 1
3.3%
2.06092906 1
3.3%
2025-07-20T14:06:27.850801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_7
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2379.3699
Minimum2374.8629
Maximum2383.2043
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:28.064883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.8629
5-th percentile2375.2543
Q12376.4861
median2380.1
Q32381.1318
95-th percentile2382.9521
Maximum2383.2043
Range8.3414286
Interquartile range (IQR)4.6457143

Descriptive statistics

Standard deviation2.6629509
Coefficient of variation (CV)0.0011191832
Kurtosis-1.2724538
Mean2379.3699
Median Absolute Deviation (MAD)2.19
Skewness-0.26744583
Sum71381.097
Variance7.0913077
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3652978771
2025-07-20T14:06:28.122376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-20T14:06:28.243178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:28.270672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2375.254286 2
 
6.7%
2376.405714 1
 
3.3%
2376.308571 1
 
3.3%
2376.385714 1
 
3.3%
2375.957143 1
 
3.3%
2374.862857 1
 
3.3%
2376.12 1
 
3.3%
2376.727143 1
 
3.3%
2377.488571 1
 
3.3%
2378.242857 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2374.862857 1
3.3%
2375.254286 2
6.7%
2375.957143 1
3.3%
2376.12 1
3.3%
2376.308571 1
3.3%
2376.385714 1
3.3%
2376.405714 1
3.3%
2376.727143 1
3.3%
2377.488571 1
3.3%
2378.242857 1
3.3%
ValueCountFrequency (%)
2383.204286 1
3.3%
2383.022857 1
3.3%
2382.865714 1
3.3%
2382.817143 1
3.3%
2382.471429 1
3.3%
2382.108571 1
3.3%
2381.94 1
3.3%
2381.214286 1
3.3%
2380.884286 1
3.3%
2380.838571 1
3.3%
2025-07-20T14:06:28.155442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2378.5533
Minimum2374.745
Maximum2381.8971
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:28.318625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.745
5-th percentile2375.1986
Q12376.3266
median2378.2618
Q32380.9902
95-th percentile2381.8747
Maximum2381.8971
Range7.1521429
Interquartile range (IQR)4.6635714

Descriptive statistics

Standard deviation2.4826554
Coefficient of variation (CV)0.001043767
Kurtosis-1.5765979
Mean2378.5533
Median Absolute Deviation (MAD)2.5432143
Skewness0.0087299743
Sum71356.599
Variance6.1635777
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.502738306
2025-07-20T14:06:28.369106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:28.493563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:28.663394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2374.745 1
 
3.3%
2375.060714 1
 
3.3%
2375.367143 1
 
3.3%
2375.607143 1
 
3.3%
2375.600714 1
 
3.3%
2375.692857 1
 
3.3%
2375.809286 1
 
3.3%
2376.262857 1
 
3.3%
2376.517857 1
 
3.3%
2376.937143 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2374.745 1
3.3%
2375.060714 1
3.3%
2375.367143 1
3.3%
2375.600714 1
3.3%
2375.607143 1
3.3%
2375.692857 1
3.3%
2375.809286 1
3.3%
2376.262857 1
3.3%
2376.517857 1
3.3%
2376.937143 1
3.3%
ValueCountFrequency (%)
2381.897143 1
3.3%
2381.875 1
3.3%
2381.874286 1
3.3%
2381.661429 1
3.3%
2381.575714 1
3.3%
2381.389286 1
3.3%
2381.31 1
3.3%
2380.995714 1
3.3%
2380.973571 1
3.3%
2380.779286 1
3.3%
2025-07-20T14:06:28.401726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2377.5389
Minimum2373.6229
Maximum2381.2233
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:28.715481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2373.6229
5-th percentile2373.9117
Q12375.3065
median2377.6269
Q32379.6794
95-th percentile2381.1114
Maximum2381.2233
Range7.6004762
Interquartile range (IQR)4.3728571

Descriptive statistics

Standard deviation2.5247119
Coefficient of variation (CV)0.0010619014
Kurtosis-1.2898272
Mean2377.5389
Median Absolute Deviation (MAD)2.2895238
Skewness-0.050769971
Sum71326.167
Variance6.3741704
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5980949897
2025-07-20T14:06:28.771495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:28.905253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:28.932946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2373.622857 1
 
3.3%
2373.82381 1
 
3.3%
2374.019048 1
 
3.3%
2374.164762 1
 
3.3%
2374.257619 1
 
3.3%
2374.435714 1
 
3.3%
2374.718095 1
 
3.3%
2375.203333 1
 
3.3%
2375.61619 1
 
3.3%
2376.074286 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2373.622857 1
3.3%
2373.82381 1
3.3%
2374.019048 1
3.3%
2374.164762 1
3.3%
2374.257619 1
3.3%
2374.435714 1
3.3%
2374.718095 1
3.3%
2375.203333 1
3.3%
2375.61619 1
3.3%
2376.074286 1
3.3%
ValueCountFrequency (%)
2381.223333 1
3.3%
2381.222381 1
3.3%
2380.975714 1
3.3%
2380.943333 1
3.3%
2380.698571 1
3.3%
2380.66381 1
3.3%
2380.213333 1
3.3%
2379.782381 1
3.3%
2379.370476 1
3.3%
2378.937619 1
3.3%
2025-07-20T14:06:28.809435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2373.6873
Minimum2371.202
Maximum2376.2173
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:28.986821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2371.202
5-th percentile2371.3269
Q12372.0457
median2373.6322
Q32375.3292
95-th percentile2376.143
Maximum2376.2173
Range5.0153333
Interquartile range (IQR)3.2835

Descriptive statistics

Standard deviation1.7611322
Coefficient of variation (CV)0.00074193944
Kurtosis-1.4950027
Mean2373.6873
Median Absolute Deviation (MAD)1.6949167
Skewness0.030306202
Sum71210.618
Variance3.1015866
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.02360934677
2025-07-20T14:06:29.042868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:29.186455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:29.213578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2371.202 1
 
3.3%
2371.288167 1
 
3.3%
2371.374167 1
 
3.3%
2371.4205 1
 
3.3%
2371.477667 1
 
3.3%
2371.576167 1
 
3.3%
2371.738667 1
 
3.3%
2371.988333 1
 
3.3%
2372.217667 1
 
3.3%
2372.4515 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2371.202 1
3.3%
2371.288167 1
3.3%
2371.374167 1
3.3%
2371.4205 1
3.3%
2371.477667 1
3.3%
2371.576167 1
3.3%
2371.738667 1
3.3%
2371.988333 1
3.3%
2372.217667 1
3.3%
2372.4515 1
3.3%
ValueCountFrequency (%)
2376.217333 1
3.3%
2376.170333 1
3.3%
2376.1095 1
3.3%
2376.015 1
3.3%
2375.8945 1
3.3%
2375.779333 1
3.3%
2375.591833 1
3.3%
2375.378167 1
3.3%
2375.182167 1
3.3%
2374.968833 1
3.3%
2025-07-20T14:06:29.081723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2379.3699
Minimum2374.8629
Maximum2383.2043
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:29.260902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.8629
5-th percentile2375.2543
Q12376.4861
median2380.1
Q32381.1318
95-th percentile2382.9521
Maximum2383.2043
Range8.3414286
Interquartile range (IQR)4.6457143

Descriptive statistics

Standard deviation2.6629509
Coefficient of variation (CV)0.0011191832
Kurtosis-1.2724538
Mean2379.3699
Median Absolute Deviation (MAD)2.19
Skewness-0.26744583
Sum71381.097
Variance7.0913077
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3652978771
2025-07-20T14:06:29.314265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-20T14:06:29.444722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:29.471321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2375.254286 2
 
6.7%
2376.405714 1
 
3.3%
2376.308571 1
 
3.3%
2376.385714 1
 
3.3%
2375.957143 1
 
3.3%
2374.862857 1
 
3.3%
2376.12 1
 
3.3%
2376.727143 1
 
3.3%
2377.488571 1
 
3.3%
2378.242857 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2374.862857 1
3.3%
2375.254286 2
6.7%
2375.957143 1
3.3%
2376.12 1
3.3%
2376.308571 1
3.3%
2376.385714 1
3.3%
2376.405714 1
3.3%
2376.727143 1
3.3%
2377.488571 1
3.3%
2378.242857 1
3.3%
ValueCountFrequency (%)
2383.204286 1
3.3%
2383.022857 1
3.3%
2382.865714 1
3.3%
2382.817143 1
3.3%
2382.471429 1
3.3%
2382.108571 1
3.3%
2381.94 1
3.3%
2381.214286 1
3.3%
2380.884286 1
3.3%
2380.838571 1
3.3%
2025-07-20T14:06:29.350119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2378.5533
Minimum2374.745
Maximum2381.8971
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:29.522809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.745
5-th percentile2375.1986
Q12376.3266
median2378.2618
Q32380.9902
95-th percentile2381.8747
Maximum2381.8971
Range7.1521429
Interquartile range (IQR)4.6635714

Descriptive statistics

Standard deviation2.4826554
Coefficient of variation (CV)0.001043767
Kurtosis-1.5765979
Mean2378.5533
Median Absolute Deviation (MAD)2.5432143
Skewness0.0087299743
Sum71356.599
Variance6.1635777
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.502738306
2025-07-20T14:06:29.569423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:29.689941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:29.718910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2374.745 1
 
3.3%
2375.060714 1
 
3.3%
2375.367143 1
 
3.3%
2375.607143 1
 
3.3%
2375.600714 1
 
3.3%
2375.692857 1
 
3.3%
2375.809286 1
 
3.3%
2376.262857 1
 
3.3%
2376.517857 1
 
3.3%
2376.937143 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2374.745 1
3.3%
2375.060714 1
3.3%
2375.367143 1
3.3%
2375.600714 1
3.3%
2375.607143 1
3.3%
2375.692857 1
3.3%
2375.809286 1
3.3%
2376.262857 1
3.3%
2376.517857 1
3.3%
2376.937143 1
3.3%
ValueCountFrequency (%)
2381.897143 1
3.3%
2381.875 1
3.3%
2381.874286 1
3.3%
2381.661429 1
3.3%
2381.575714 1
3.3%
2381.389286 1
3.3%
2381.31 1
3.3%
2380.995714 1
3.3%
2380.973571 1
3.3%
2380.779286 1
3.3%
2025-07-20T14:06:29.603360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2377.5389
Minimum2373.6229
Maximum2381.2233
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:29.776354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2373.6229
5-th percentile2373.9117
Q12375.3065
median2377.6269
Q32379.6794
95-th percentile2381.1114
Maximum2381.2233
Range7.6004762
Interquartile range (IQR)4.3728571

Descriptive statistics

Standard deviation2.5247119
Coefficient of variation (CV)0.0010619014
Kurtosis-1.2898272
Mean2377.5389
Median Absolute Deviation (MAD)2.2895238
Skewness-0.050769971
Sum71326.167
Variance6.3741704
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5980949897
2025-07-20T14:06:29.832429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:29.960140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:29.989066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2373.622857 1
 
3.3%
2373.82381 1
 
3.3%
2374.019048 1
 
3.3%
2374.164762 1
 
3.3%
2374.257619 1
 
3.3%
2374.435714 1
 
3.3%
2374.718095 1
 
3.3%
2375.203333 1
 
3.3%
2375.61619 1
 
3.3%
2376.074286 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2373.622857 1
3.3%
2373.82381 1
3.3%
2374.019048 1
3.3%
2374.164762 1
3.3%
2374.257619 1
3.3%
2374.435714 1
3.3%
2374.718095 1
3.3%
2375.203333 1
3.3%
2375.61619 1
3.3%
2376.074286 1
3.3%
ValueCountFrequency (%)
2381.223333 1
3.3%
2381.222381 1
3.3%
2380.975714 1
3.3%
2380.943333 1
3.3%
2380.698571 1
3.3%
2380.66381 1
3.3%
2380.213333 1
3.3%
2379.782381 1
3.3%
2379.370476 1
3.3%
2378.937619 1
3.3%
2025-07-20T14:06:29.868752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2373.6873
Minimum2371.202
Maximum2376.2173
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:30.033793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2371.202
5-th percentile2371.3269
Q12372.0457
median2373.6322
Q32375.3292
95-th percentile2376.143
Maximum2376.2173
Range5.0153333
Interquartile range (IQR)3.2835

Descriptive statistics

Standard deviation1.7611322
Coefficient of variation (CV)0.00074193944
Kurtosis-1.4950027
Mean2373.6873
Median Absolute Deviation (MAD)1.6949167
Skewness0.030306202
Sum71210.618
Variance3.1015866
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.02360934677
2025-07-20T14:06:30.080590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:30.204837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:30.231016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2371.202 1
 
3.3%
2371.288167 1
 
3.3%
2371.374167 1
 
3.3%
2371.4205 1
 
3.3%
2371.477667 1
 
3.3%
2371.576167 1
 
3.3%
2371.738667 1
 
3.3%
2371.988333 1
 
3.3%
2372.217667 1
 
3.3%
2372.4515 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2371.202 1
3.3%
2371.288167 1
3.3%
2371.374167 1
3.3%
2371.4205 1
3.3%
2371.477667 1
3.3%
2371.576167 1
3.3%
2371.738667 1
3.3%
2371.988333 1
3.3%
2372.217667 1
3.3%
2372.4515 1
3.3%
ValueCountFrequency (%)
2376.217333 1
3.3%
2376.170333 1
3.3%
2376.1095 1
3.3%
2376.015 1
3.3%
2375.8945 1
3.3%
2375.779333 1
3.3%
2375.591833 1
3.3%
2375.378167 1
3.3%
2375.182167 1
3.3%
2374.968833 1
3.3%
2025-07-20T14:06:30.114755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.767465
Minimum2.8656126
Maximum84.794521
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:30.276498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.8656126
5-th percentile9.1025222
Q142.876573
median62.710001
Q370.964133
95-th percentile79.398598
Maximum84.794521
Range81.928908
Interquartile range (IQR)28.08756

Descriptive statistics

Standard deviation23.034444
Coefficient of variation (CV)0.42058628
Kurtosis-0.12301906
Mean54.767465
Median Absolute Deviation (MAD)12.988857
Skewness-0.89299753
Sum1643.024
Variance530.58562
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.6451909725
2025-07-20T14:06:30.321502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:30.465905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:30.495226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
51.35387488 1
 
3.3%
46.50924025 1
 
3.3%
53.16901408 1
 
3.3%
28.75354108 1
 
3.3%
16.48501362 1
 
3.3%
32.6142132 1
 
3.3%
68.87052342 1
 
3.3%
78.6389414 1
 
3.3%
67.96280642 1
 
3.3%
71.03393844 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2.865612648 1
3.3%
3.062302006 1
3.3%
16.48501362 1
3.3%
23.17813765 1
3.3%
28.75354108 1
3.3%
30.47619048 1
3.3%
32.6142132 1
3.3%
42.65895954 1
3.3%
43.52941176 1
3.3%
46.50924025 1
3.3%
ValueCountFrequency (%)
84.79452055 1
3.3%
79.71246006 1
3.3%
79.01498929 1
3.3%
78.6389414 1
3.3%
76.46559048 1
3.3%
74.9321267 1
3.3%
74.39516129 1
3.3%
71.03393844 1
3.3%
70.75471698 1
3.3%
69.02800659 1
3.3%
2025-07-20T14:06:30.360513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.541662
Minimum32.234432
Maximum72.972973
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:30.554938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum32.234432
5-th percentile39.534368
Q153.981035
median62.880154
Q367.80695
95-th percentile70.40938
Maximum72.972973
Range40.738541
Interquartile range (IQR)13.825915

Descriptive statistics

Standard deviation10.091293
Coefficient of variation (CV)0.16948289
Kurtosis0.77644706
Mean59.541662
Median Absolute Deviation (MAD)5.6701437
Skewness-1.0760136
Sum1786.2499
Variance101.8342
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8560080814
2025-07-20T14:06:30.806819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:30.934144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:30.961057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
63.0944832 1
 
3.3%
63.77805486 1
 
3.3%
63.28173375 1
 
3.3%
59.83606557 1
 
3.3%
49.71572963 1
 
3.3%
53.75655213 1
 
3.3%
54.65448315 1
 
3.3%
64.91310474 1
 
3.3%
58.27538248 1
 
3.3%
63.85087305 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
32.23443223 1
3.3%
38.64042934 1
3.3%
40.62695925 1
3.3%
48.83195177 1
3.3%
49.71572963 1
3.3%
51.15107914 1
3.3%
53.42752486 1
3.3%
53.75655213 1
3.3%
54.65448315 1
3.3%
55.76339737 1
3.3%
ValueCountFrequency (%)
72.97297297 1
3.3%
70.81673307 1
3.3%
69.91150442 1
3.3%
69.67799642 1
3.3%
68.65671642 1
3.3%
68.20428336 1
3.3%
67.85490932 1
3.3%
67.83783784 1
3.3%
67.71428571 1
3.3%
64.91310474 1
3.3%
2025-07-20T14:06:30.842541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.576934
Minimum36.693915
Maximum70.782074
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:31.005871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum36.693915
5-th percentile43.345616
Q158.041666
median62.103574
Q365.289931
95-th percentile69.595697
Maximum70.782074
Range34.088159
Interquartile range (IQR)7.2482645

Descriptive statistics

Standard deviation8.0252351
Coefficient of variation (CV)0.13248005
Kurtosis3.2365617
Mean60.576934
Median Absolute Deviation (MAD)4.0421371
Skewness-1.5804473
Sum1817.308
Variance64.404399
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01684046226
2025-07-20T14:06:31.051153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:31.166466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:31.190829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
62.62686567 1
 
3.3%
62.60454002 1
 
3.3%
62.15895611 1
 
3.3%
58.54748603 1
 
3.3%
55.1342812 1
 
3.3%
59.3875502 1
 
3.3%
63.41022162 1
 
3.3%
69.33586338 1
 
3.3%
65.55435953 1
 
3.3%
66.68979875 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
36.69391462 1
3.3%
37.9342723 1
3.3%
49.95948136 1
3.3%
55.1342812 1
3.3%
55.95238095 1
3.3%
57.45526839 1
3.3%
57.51054852 1
3.3%
58.02189505 1
3.3%
58.10097965 1
3.3%
58.54748603 1
3.3%
ValueCountFrequency (%)
70.78207381 1
3.3%
69.64980545 1
3.3%
69.52956409 1
3.3%
69.33586338 1
3.3%
68.79617558 1
3.3%
68.17769719 1
3.3%
66.68979875 1
3.3%
65.55435953 1
3.3%
64.4966443 1
3.3%
63.41189675 1
3.3%
2025-07-20T14:06:31.084515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.574222
Minimum52.478032
Maximum64.288348
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:31.233893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum52.478032
5-th percentile53.017505
Q155.4316
median61.408999
Q362.721443
95-th percentile64.047199
Maximum64.288348
Range11.810316
Interquartile range (IQR)7.2898425

Descriptive statistics

Standard deviation4.0125677
Coefficient of variation (CV)0.067354094
Kurtosis-1.3429797
Mean59.574222
Median Absolute Deviation (MAD)1.9196606
Skewness-0.57462414
Sum1787.2267
Variance16.1007
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7519310441
2025-07-20T14:06:31.277217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-20T14:06:31.409850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:31.439125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
62.04297022 2
 
6.7%
55.22327743 1
 
3.3%
55.21212121 1
 
3.3%
52.82520325 1
 
3.3%
54.20841683 1
 
3.3%
56.05656897 1
 
3.3%
59.78719133 1
 
3.3%
64.11077619 1
 
3.3%
62.67034991 1
 
3.3%
62.85504856 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
52.47803163 1
3.3%
52.82520325 1
3.3%
53.25253965 1
3.3%
53.53244078 1
3.3%
54.20841683 1
3.3%
55.15923567 1
3.3%
55.21212121 1
3.3%
55.22327743 1
3.3%
56.05656897 1
3.3%
56.43509033 1
3.3%
ValueCountFrequency (%)
64.28834808 1
3.3%
64.11077619 1
3.3%
63.96949405 1
3.3%
63.62651255 1
3.3%
62.96912553 1
3.3%
62.85504856 1
3.3%
62.8344713 1
3.3%
62.73847377 1
3.3%
62.67034991 1
3.3%
62.41753977 1
3.3%
2025-07-20T14:06:31.311456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81022371
Minimum-1.3010019
Maximum1.5437301
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:31.485014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.3010019
5-th percentile-0.70893058
Q10.61740337
median0.98593768
Q31.2533021
95-th percentile1.5198004
Maximum1.5437301
Range2.8447321
Interquartile range (IQR)0.63589869

Descriptive statistics

Standard deviation0.68797845
Coefficient of variation (CV)0.8491216
Kurtosis3.0214781
Mean0.81022371
Median Absolute Deviation (MAD)0.32065034
Skewness-1.6991561
Sum24.306711
Variance0.47331435
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1609269545
2025-07-20T14:06:31.526581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:31.647385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:31.675221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.8951315998 1
 
3.3%
0.8063914401 1
 
3.3%
0.7376569213 1
 
3.3%
0.5532311341 1
 
3.3%
0.322191232 1
 
3.3%
0.3153094602 1
 
3.3%
0.5773188574 1
 
3.3%
1.17288974 1
 
3.3%
1.333069868 1
 
3.3%
1.468272434 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-1.301001943 1
3.3%
-0.9704081055 1
3.3%
-0.389346941 1
3.3%
0.2854172426 1
3.3%
0.3153094602 1
3.3%
0.322191232 1
3.3%
0.5532311341 1
3.3%
0.5773188574 1
3.3%
0.7376569213 1
3.3%
0.7748513188 1
3.3%
ValueCountFrequency (%)
1.543730121 1
3.3%
1.531688738 1
3.3%
1.505270194 1
3.3%
1.468272434 1
3.3%
1.410223958 1
3.3%
1.368671318 1
3.3%
1.333069868 1
3.3%
1.280106173 1
3.3%
1.17288974 1
3.3%
1.166803429 1
3.3%
2025-07-20T14:06:31.558693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0212096
Minimum0.30311072
Maximum1.7442115
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:31.726705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.30311072
5-th percentile0.42295318
Q10.71216976
median1.0505888
Q31.2652893
95-th percentile1.6593928
Maximum1.7442115
Range1.4411008
Interquartile range (IQR)0.55311957

Descriptive statistics

Standard deviation0.3837066
Coefficient of variation (CV)0.37573737
Kurtosis-0.61189449
Mean1.0212096
Median Absolute Deviation (MAD)0.24706379
Skewness0.056061856
Sum30.636287
Variance0.14723075
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.494084097 × 10-5
2025-07-20T14:06:31.781787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:31.929798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:31.958848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.092490728 1
 
3.3%
1.157767201 1
 
3.3%
1.22199123 1
 
3.3%
1.27972203 1
 
3.3%
1.301890503 1
 
3.3%
1.188331787 1
 
3.3%
1.103558942 1
 
3.3%
1.008686797 1
 
3.3%
0.9607364335 1
 
3.3%
0.8638035303 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.3031107176 1
3.3%
0.375888191 1
3.3%
0.4804770544 1
3.3%
0.5644686049 1
3.3%
0.6226840201 1
3.3%
0.6300221976 1
3.3%
0.6763126339 1
3.3%
0.6803053657 1
3.3%
0.8077629267 1
3.3%
0.8459393492 1
3.3%
ValueCountFrequency (%)
1.744211539 1
3.3%
1.735421152 1
3.3%
1.566469337 1
3.3%
1.49301104 1
3.3%
1.488132164 1
3.3%
1.344231399 1
3.3%
1.301890503 1
3.3%
1.27972203 1
3.3%
1.22199123 1
3.3%
1.188331787 1
3.3%
2025-07-20T14:06:31.817768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.21098587
Minimum-1.6041127
Maximum0.6044689
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:32.001728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.6041127
5-th percentile-1.1958769
Q1-0.51576364
median-0.1225907
Q30.17105465
95-th percentile0.50822344
Maximum0.6044689
Range2.2085816
Interquartile range (IQR)0.68681829

Descriptive statistics

Standard deviation0.57461088
Coefficient of variation (CV)-2.7234567
Kurtosis-0.16731145
Mean-0.21098587
Median Absolute Deviation (MAD)0.36717079
Skewness-0.63480444
Sum-6.329576
Variance0.33017766
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3944619399
2025-07-20T14:06:32.057827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:32.187384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:32.213127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-0.1973591284 1
 
3.3%
-0.3513757611 1
 
3.3%
-0.4843343092 1
 
3.3%
-0.7264908956 1
 
3.3%
-0.9796992706 1
 
3.3%
-0.8730223264 1
 
3.3%
-0.5262400849 1
 
3.3%
0.1642029428 1
 
3.3%
0.3723334344 1
 
3.3%
0.6044689034 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-1.60411266 1
3.3%
-1.346296296 1
3.3%
-1.012030961 1
3.3%
-0.9796992706 1
3.3%
-0.8730223264 1
3.3%
-0.7264908956 1
3.3%
-0.6282148418 1
3.3%
-0.5262400849 1
3.3%
-0.4843343092 1
3.3%
-0.4553149792 1
3.3%
ValueCountFrequency (%)
0.6044689034 1
3.3%
0.5227319691 1
3.3%
0.4904907954 1
3.3%
0.4904452724 1
3.3%
0.4364844321 1
3.3%
0.3723334344 1
3.3%
0.2500072684 1
3.3%
0.1733385516 1
3.3%
0.1642029428 1
3.3%
0.1589226456 1
3.3%
2025-07-20T14:06:32.093548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.231368
Minimum0.00490462
Maximum897.96731
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:32.254064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00490462
5-th percentile0.12060932
Q10.75613669
median1.4647387
Q33.4727239
95-th percentile313.81846
Maximum897.96731
Range897.9624
Interquartile range (IQR)2.7165872

Descriptive statistics

Standard deviation185.09945
Coefficient of variation (CV)3.543837
Kurtosis16.782324
Mean52.231368
Median Absolute Deviation (MAD)0.74521602
Skewness4.0741027
Sum1566.9411
Variance34261.808
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01159946157
2025-07-20T14:06:32.301991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:32.426114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:32.452960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.44220013 1
 
3.3%
1.23370289 1
 
3.3%
0.00490462 1
 
3.3%
0.84708057 1
 
3.3%
0.7087811 1
 
3.3%
0.14486632 1
 
3.3%
512.7974224 1
 
3.3%
897.9673088 1
 
3.3%
27.76029361 1
 
3.3%
1.29870877 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.00490462 1
3.3%
0.10076268 1
3.3%
0.14486632 1
3.3%
0.33624061 1
3.3%
0.44220013 1
3.3%
0.7087811 1
3.3%
0.73026435 1
3.3%
0.75447962 1
3.3%
0.76110789 1
3.3%
0.84708057 1
3.3%
ValueCountFrequency (%)
897.9673088 1
3.3%
512.7974224 1
3.3%
70.62195392 1
3.3%
27.76029361 1
3.3%
12.72059496 1
3.3%
10.94967317 1
3.3%
6.05505625 1
3.3%
3.47584922 1
3.3%
3.46334785 1
3.3%
2.06092906 1
3.3%
2025-07-20T14:06:32.334804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

target
Numeric time series

Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2379.988
Minimum2374.81
Maximum2384.64
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-20T14:06:32.497604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2374.81
5-th percentile2375.1845
Q12378.665
median2380.005
Q32381.2925
95-th percentile2384.448
Maximum2384.64
Range9.83
Interquartile range (IQR)2.6275

Descriptive statistics

Standard deviation2.662399
Coefficient of variation (CV)0.0011186607
Kurtosis-0.23457219
Mean2379.988
Median Absolute Deviation (MAD)1.37
Skewness-0.15283026
Sum71399.64
Variance7.0883683
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1122530838
2025-07-20T14:06:32.692240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-20T14:06:32.800849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-20T14:06:32.825475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2374.81 1
 
3.3%
2377.24 1
 
3.3%
2381.49 1
 
3.3%
2379.96 1
 
3.3%
2380.92 1
 
3.3%
2379.83 1
 
3.3%
2379.68 1
 
3.3%
2380.32 1
 
3.3%
2380.21 1
 
3.3%
2379.44 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2374.81 1
3.3%
2374.82 1
3.3%
2375.63 1
3.3%
2376.58 1
3.3%
2377.22 1
3.3%
2377.24 1
3.3%
2377.65 1
3.3%
2378.56 1
3.3%
2378.98 1
3.3%
2379.44 1
3.3%
ValueCountFrequency (%)
2384.64 1
3.3%
2384.52 1
3.3%
2384.36 1
3.3%
2384.01 1
3.3%
2382.52 1
3.3%
2382.22 1
3.3%
2381.49 1
3.3%
2381.3 1
3.3%
2381.27 1
3.3%
2381.11 1
3.3%
2025-07-20T14:06:32.720108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2025-07-20T14:06:24.568322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:02.208012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:03.135396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:04.070119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:05.092414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:06.136501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:07.383111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:08.609334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:09.434310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:10.279633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:11.391964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:12.272760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:13.314163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:14.112895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:15.013829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.086633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.965316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.825569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:18.902306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:19.836299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:20.688588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:21.697011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:22.756434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:23.582871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:24.604446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:02.246103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:03.166929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:04.114967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:05.121235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:06.177919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:07.599327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:08.647980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:09.464616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:10.315285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:11.432518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:12.303985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:13.342043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:14.153203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:15.044933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.117689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.998183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.866297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:18.935547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:19.869363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:20.724232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:21.731377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:22.793556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:23.621579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:24.641186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:02.282766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:03.199920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:04.159478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:05.153923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:06.222779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:07.643560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:08.681954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:09.496661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:10.360032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:11.472897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:12.337203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:13.376613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:14.190779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:15.077644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.149934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.030690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.912916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:18.967078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:19.902428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:20.758826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:21.768311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:22.831208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:23.665785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:24.678030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:02.319665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:03.236432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:04.195288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:05.185422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:06.268720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:07.689085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:08.714195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:09.533064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:10.554477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:11.513836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:12.371082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:13.409107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:14.227129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:15.108158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.186660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.063522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.955501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:18.998109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:19.933789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:20.790171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:21.904342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:22.866149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:23.702810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:24.713814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:02.357313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:03.274628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-20T14:06:05.215536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:06.320725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:07.732401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:08.746831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:09.572571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:10.602632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:11.549137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:12.415928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-20T14:06:20.824633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:21.942253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-20T14:06:13.284926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-20T14:06:14.982778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.055805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:16.931653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:17.787730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:18.870723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:19.802863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:20.649712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:21.657980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:22.720208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:23.540272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-20T14:06:24.533226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-20T14:06:32.875625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obvopenrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.5330.4590.4340.6380.9490.9160.7930.5000.3100.3850.8340.6910.5830.8020.7600.5330.4590.4340.6380.1100.3850.4340.434
ema_140.5331.0000.9900.9740.9380.6050.6170.114-0.1370.0080.2380.6840.0380.0160.1560.0831.0000.9900.9740.938-0.2140.2380.9740.974
ema_210.4590.9901.0000.9920.9020.5230.5440.026-0.194-0.0790.2300.607-0.040-0.0800.1050.0010.9901.0000.9920.902-0.1980.2300.9920.992
ema_600.4340.9740.9921.0000.8690.4960.5150.014-0.211-0.1120.2080.577-0.048-0.1110.084-0.0160.9740.9921.0000.869-0.1920.2081.0001.000
ema_70.6380.9380.9020.8691.0000.6960.7480.2770.0100.1190.2010.7880.2460.1290.2470.2060.9380.9020.8691.000-0.1970.2010.8690.869
high0.9490.6050.5230.4960.6961.0000.8930.7590.4500.3240.4150.9030.6260.5880.7110.6830.6050.5230.4960.6960.0220.4150.4960.496
low0.9160.6170.5440.5150.7480.8931.0000.7380.4480.3220.2690.9370.6910.4240.6710.6150.6170.5440.5150.7480.1380.2690.5150.515
macd_70.7930.1140.0260.0140.2770.7590.7381.0000.7050.4030.3170.6950.6540.7490.7010.8830.1140.0260.0140.2770.0660.3170.0140.014
macdhist_70.500-0.137-0.194-0.2110.0100.4500.4480.7051.000-0.2260.1690.3880.4640.4330.6450.675-0.137-0.194-0.2110.0100.3710.169-0.211-0.211
macdsignal_70.3100.008-0.079-0.1120.1190.3240.3220.403-0.2261.0000.0760.3220.3870.5000.1260.3050.008-0.079-0.1120.119-0.2070.076-0.112-0.112
obv0.3850.2380.2300.2080.2010.4150.2690.3170.1690.0761.0000.3070.0640.3330.4080.4310.2380.2300.2080.201-0.0701.0000.2080.208
open0.8340.6840.6070.5770.7880.9030.9370.6950.3880.3220.3071.0000.5680.4130.5680.5310.6840.6070.5770.7880.0620.3070.5770.577
rsi_140.6910.038-0.040-0.0480.2460.6260.6910.6540.4640.3870.0640.5681.0000.3560.6370.5250.038-0.040-0.0480.2460.2770.064-0.048-0.048
rsi_210.5830.016-0.080-0.1110.1290.5880.4240.7490.4330.5000.3330.4130.3561.0000.4380.7720.016-0.080-0.1110.129-0.3100.333-0.111-0.111
rsi_600.8020.1560.1050.0840.2470.7110.6710.7010.6450.1260.4080.5680.6370.4381.0000.6570.1560.1050.0840.2470.4370.4080.0840.084
rsi_70.7600.0830.001-0.0160.2060.6830.6150.8830.6750.3050.4310.5310.5250.7720.6571.0000.0830.001-0.0160.2060.0710.431-0.016-0.016
sma_140.5331.0000.9900.9740.9380.6050.6170.114-0.1370.0080.2380.6840.0380.0160.1560.0831.0000.9900.9740.938-0.2140.2380.9740.974
sma_210.4590.9901.0000.9920.9020.5230.5440.026-0.194-0.0790.2300.607-0.040-0.0800.1050.0010.9901.0000.9920.902-0.1980.2300.9920.992
sma_600.4340.9740.9921.0000.8690.4960.5150.014-0.211-0.1120.2080.577-0.048-0.1110.084-0.0160.9740.9921.0000.869-0.1920.2081.0001.000
sma_70.6380.9380.9020.8691.0000.6960.7480.2770.0100.1190.2010.7880.2460.1290.2470.2060.9380.9020.8691.000-0.1970.2010.8690.869
target0.110-0.214-0.198-0.192-0.1970.0220.1380.0660.371-0.207-0.0700.0620.277-0.3100.4370.071-0.214-0.198-0.192-0.1971.000-0.070-0.192-0.192
volume0.3850.2380.2300.2080.2010.4150.2690.3170.1690.0761.0000.3070.0640.3330.4080.4310.2380.2300.2080.201-0.0701.0000.2080.208
window_end_ms0.4340.9740.9921.0000.8690.4960.5150.014-0.211-0.1120.2080.577-0.048-0.1110.084-0.0160.9740.9921.0000.869-0.1920.2081.0001.000
window_start_ms0.4340.9740.9921.0000.8690.4960.5150.014-0.211-0.1120.2080.577-0.048-0.1110.084-0.0160.9740.9921.0000.869-0.1920.2081.0001.000

Missing values

2025-07-20T14:06:25.443997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-20T14:06:25.517510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17521527600002374.272375.622374.272375.43175215276000017521528200000.4422002376.4057142374.7450002373.6228572371.2020002376.4057142374.7450002373.6228572371.20200051.35387563.09448362.62686654.2084170.8951321.092491-0.1973590.4422002374.81
17521528200002376.392376.402375.692375.71175215282000017521528800001.2337032376.3085712375.0607142373.8238102371.2881672376.3085712375.0607142373.8238102371.28816746.50924063.77805562.60454055.2232770.8063911.157767-0.3513761.2337032377.24
17521528800002375.592375.592375.592375.59175215288000017521529400000.0049052376.3857142375.3671432374.0190482371.3741672376.3857142375.3671432374.0190482371.37416753.16901463.28173462.15895655.2121210.7376571.221991-0.4843340.0049052381.49
17521529400002374.902375.162374.552374.55175215294000017521530000000.8470812375.9571432375.6071432374.1647622371.4205002375.9571432375.6071432374.1647622371.42050028.75354159.83606658.54748652.8252030.5532311.279722-0.7264910.8470812379.96
17521530000002374.552374.552373.132373.45175215300000017521530600000.7087812375.2542862375.6007142374.2576192371.4776672375.2542862375.6007142374.2576192371.47766716.48501449.71573055.13428153.5324410.3221911.301891-0.9796990.7087812380.92
17521530600002374.772374.812374.632374.81175215306000017521531200000.1448662374.8628572375.6928572374.4357142371.5761672374.8628572375.6928572374.4357142371.57616732.61421353.75655259.38755056.0565690.3153091.188332-0.8730220.1448662379.83
17521531200002374.762377.242373.972377.2417521531200001752153180000512.7974222375.2542862375.8092862374.7180952371.7386672375.2542862375.8092862374.7180952371.73866768.87052354.65448363.41022259.7871910.5773191.103559-0.526240512.7974222379.68
17521531800002377.352382.322377.352381.4917521531800001752153240000897.9673092376.1200002376.2628572375.2033332371.9883332376.1200002376.2628572375.2033332371.98833378.63894164.91310569.33586364.1107761.1728901.0086870.164203897.9673092380.32
17521532400002380.902380.902379.772379.961752153240000175215330000027.7602942376.7271432376.5178572375.6161902372.2176672376.7271432376.5178572375.6161902372.21766767.96280658.27538265.55436062.6703501.3330700.9607360.37233327.7602942380.21
17521533000002380.142380.922380.142380.92175215330000017521533600001.2987092377.4885712376.9371432376.0742862372.4515002377.4885712376.9371432376.0742862372.45150071.03393863.85087366.68979962.8550491.4682720.8638040.6044691.2987092379.44
openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17521539600002381.112382.972381.112382.52175215396000017521540200003.4633482381.2142862380.7792862378.9376192374.9688332381.2142862380.7792862378.9376192374.96883369.02800767.83783868.17769763.9694941.2801061.735421-0.4553153.4633482380.00
17521540200002383.112385.602382.402384.52175215402000017521540800006.0550562381.9400002380.9957142379.3704762375.1821672381.9400002380.9957142379.3704762375.18216784.79452162.07171369.64980562.4175401.5052701.744212-0.2389416.0550562380.01
17521540800002384.762384.842384.342384.36175215408000017521541400003.4758492382.4714292381.3100002379.7823812375.3781672382.4714292381.3100002379.7823812375.37816779.71246069.67799668.79617661.5702481.5316891.566469-0.0347813.4758492377.22
17521541400002384.182384.652384.182384.64175215414000017521542000000.8902122382.8171432381.5757142380.2133332375.5918332382.8171432381.5757142380.2133332375.59183374.39516167.71428669.52956462.7384741.5437301.4930110.0507190.8902122375.63
17521542000002384.652385.912384.002384.01175215420000017521542600001.6307502383.2042862381.8742862380.6638102375.7793332383.2042862381.8742862380.6638102375.77933379.01498970.81673370.78207461.2477501.4102241.3442310.0659931.6307502374.82
17521542600002384.002384.002380.002380.00175215426000017521543200001.3643392383.0228572381.8971432380.9757142375.8945002383.0228572381.8971432380.9757142375.89450042.65896051.15107962.75808356.4350900.7748511.166683-0.3918311.3643392378.56
17521543200002380.012380.012380.002380.01175215432000017521543800002.0609292382.8657142381.8750002381.2233332376.0150002382.8657142381.8750002381.2233332376.01500043.52941248.83195260.69078956.7709310.2854170.913632-0.6282152.0609292378.98
17521543800002380.012380.012377.222377.221752154380000175215444000010.9496732382.1085712381.6614292381.2223812376.1095002382.1085712381.6614292381.2223812376.10950023.17813840.62695949.95948155.159236-0.3893470.622684-1.01203110.9496732376.58
17521544400002377.222377.222375.522375.63175215444000017521545000000.1007632380.8385712381.3892862380.9433332376.1703332380.8385712381.3892862380.9433332376.1703333.06230238.64042936.69391553.252540-0.9704080.375888-1.3462960.1007632377.65
17521545000002375.522375.612374.612374.82175215450000017521545600001.5651392379.4757142380.9735712380.6985712376.2173332379.4757142380.9735712380.6985712376.2173332.86561332.23443237.93427252.478032-1.3010020.303111-1.6041131.5651392379.70